07/08/2015 Data Cleaning and Description
source("Jul01.R",local=TRUE)## Loading required package: boot
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## last##
## Frequencies for research
## 1 2 NA
## 57 14 0
## % 80.3 19.7 0
## %!NA 80.3 19.7
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## Frequencies for group
## 2 1 NA
## 59 12 0
## % 83.1 16.9 0
## %!NA 83.1 16.9
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## Frequencies for kn_protect_ng1
## 2 1 NA
## 50 9 12
## % 70.4 12.7 16.9
## %!NA 84.7 15.3
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## Frequencies for kn_protect_ng2
## 2 1 NA
## 51 8 12
## % 71.8 11.3 16.9
## %!NA 86.4 13.6
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## Frequencies for kn_protect_ng3
## 2 1 NA
## 51 8 12
## % 71.8 11.3 16.9
## %!NA 86.4 13.6
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## Frequencies for kn_protect_ng4
## 2 1 NA
## 51 8 12
## % 71.8 11.3 16.9
## %!NA 86.4 13.6
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## Frequencies for kn_protect_ng5
## 2 1 NA
## 49 10 12
## % 69 14.1 16.9
## %!NA 83.1 16.9
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## Frequencies for kn_protect_g_i1
## 2 1 NA
## 11 1 59
## % 15.5 1.4 83.1
## %!NA 91.7 8.3
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## Frequencies for kn_protect_g_i2
## 2 1 NA
## 11 1 59
## % 15.5 1.4 83.1
## %!NA 91.7 8.3
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## Frequencies for kn_protect_g_i3
## 2 1 NA
## 11 1 59
## % 15.5 1.4 83.1
## %!NA 91.7 8.3
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## Frequencies for kn_protect_g_i4
## 2 1 NA
## 9 3 59
## % 12.7 4.2 83.1
## %!NA 75 25
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## Frequencies for kn_protect_g_i5
## 2 NA
## 12 59
## % 16.9 83.1
## %!NA 100
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## Frequencies for kn_protect_g_o1
## 2 1 NA
## 11 1 59
## % 15.5 1.4 83.1
## %!NA 91.7 8.3
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## Frequencies for kn_protect_g_o2
## 2 1 NA
## 10 2 59
## % 14.1 2.8 83.1
## %!NA 83.3 16.7
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## Frequencies for kn_protect_g_o3
## 2 1 NA
## 9 3 59
## % 12.7 4.2 83.1
## %!NA 75 25
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## Frequencies for kn_protect_g_o4
## 2 1 NA
## 8 4 59
## % 11.3 5.6 83.1
## %!NA 66.7 33.3
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## Frequencies for kn_protect_g_o5
## 2 1 NA
## 11 1 59
## % 15.5 1.4 83.1
## %!NA 91.7 8.3
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## Frequencies for degree
## 1 2 3 NA
## 37 20 14 0
## % 52.1 28.2 19.7 0
## %!NA 52.1 28.2 19.7
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## Frequencies for institution
## Purdue University Columbia University Purdue Arizona State University Brown University UIUC American International University-Bangladesh(AIUB) arizona state university Columbia University in the City of New York ECE, Purdue Faculty of Sciences of Monastir - Tunisia FSU` GBPUAT, Pantnagar Geethanjali college of engineering and technology hyderabad india Guilan University IIT Kanpur Imperial Indian Institute of Engineering Science and Technology (IIEST), Sbibpur IPPT PAN JSPMs Rajarshi Shahu College of Engineering, Pune, Maharashtra Key Lab of Quantum Information, CAS Lehigh University Lovely Professional University lsu National Spanish Research Council NED University of Engineering and Technology, Karachi Pakistan. NMIMS Northwestern University Pennsylvania State University Purdue university sastra university The University of Texas at Austin Universidad de Zaragoza Universidad Tecnológica Nacional University University of Alberta UNIVERSITY OF GHANA University of Illinois University of Illinois Working on obtaining Bachelors Degree University of Malaga University of Reading University of Seville University of Waterloo University of Zagreb Universityof Rijeka UT Austin VIT University VIT UNIVERSITY Washington University in St. Louis XTU NA
## 13 4 3 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## % 18.3 5.6 4.2 2.8 2.8 2.8 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4
## %!NA 18.6 5.7 4.3 2.9 2.9 2.9 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4
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## Frequencies for resp_country
## USA India US Spain United States United States of America Canada China Croatia india INDIA Argentina Bangladesh GHANA Iran Italy Karachi, Pakistan. Pakistan Poland Tunisia U.S.A. UK United Kingdom United states United States united states of america Univted states NA
## 22 6 5 4 4 4 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0
## % 31 8.5 7 5.6 5.6 5.6 2.8 2.8 2.8 2.8 2.8 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 0
## %!NA 31 8.5 7 5.6 5.6 5.6 2.8 2.8 2.8 2.8 2.8 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4
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## Frequencies for use_nanoHub
## 9 10 NA
## 44 26 1
## % 62 36.6 1.4
## %!NA 62.9 37.1
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## Frequencies for use_any_nanoHub
## 9 10 NA
## 37 34 0
## % 52.1 47.9 0
## %!NA 52.1 47.9
##
## alexander.jin.pak@gmail.com alqadi2@illinois.edu
## 1 1
## biswapriyodas1@gmail.com charmi@guilan.ac.ir
## 1 1
## engrmkumailali@gmail.com esakr@purdue.edu
## 1 1
## fargi.abdelaali@gmail.com harshad.sahasrabudhe@gmail.com
## 1 1
## kaimiao85@gmail.com kisshore18@gmail.com
## 1 1
## manas26t@gmail.com mohamed@illinois.edu
## 1 1
## nishant_bmw@yahoo.com peter.woerner@gmail.com
## 1 1
## r99941001@gmail.com samueld1995@live.co.uk
## 1 1
## Sqazi@asu.edu tafaltens@gmail.com
## 1 1
## utharahari23@gmail.com vahid@mail.ustc.edu.cn
## 1 1
## vganapa@purdue.edu
## 1
## < table of extent 0 >
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## ECE 305 Lundstrom
## 1
## Gerhard Klimeck
## 1
## Gerhard Klimeck Research Group Restricted Access Forum
## 4
## Gerhard Klimeck’s research group at Purdue University
## 1
## https://nanohub.org/groups/mse235
## 1
## Mehedi Hasan
## 1
## MSE 260 Thermodynamics of Materials - 2015 Edition
## 1
## MSE 270: Atomistic Materials Science
## 1
## nanoBIO Node
## 1
## Description of dibbs1[con_var]
## Loading required package: MASS
## Loading required package: lattice
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## Attaching package: 'lattice'
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## The following object is masked from 'package:boot':
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## melanoma
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## Attaching package: 'nFactors'
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## The following object is masked from 'package:lattice':
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## parallel
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate = rotate,
## : A Heywood case was detected. Examine the loadings carefully.
## Factor Analysis using method = minres
## Call: fa(r = know_cr, nfactors = 2, n.obs = 71)
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## Warning: A Heywood case was detected.
## Standardized loadings (pattern matrix) based upon correlation matrix
## item MR1 MR2 h2 u2 com
## know_cr3 3 1.02 -0.04 0.990 0.0099 1.0
## know_cr5 5 0.70 0.13 0.602 0.3983 1.1
## know_cr6 6 -0.26 0.19 0.055 0.9454 1.9
## know_cr1 1 -0.11 0.88 0.694 0.3057 1.0
## know_cr4 4 0.38 0.60 0.734 0.2656 1.7
## know_cr2 2 0.37 0.49 0.565 0.4348 1.9
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## MR1 MR2
## SS loadings 2.04 1.60
## Proportion Var 0.34 0.27
## Cumulative Var 0.34 0.61
## Proportion Explained 0.56 0.44
## Cumulative Proportion 0.56 1.00
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## With factor correlations of
## MR1 MR2
## MR1 1.0 0.5
## MR2 0.5 1.0
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## Mean item complexity = 1.4
## Test of the hypothesis that 2 factors are sufficient.
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## The degrees of freedom for the null model are 15 and the objective function was 2.8 0.3 with Chi Square of 187.86
## The degrees of freedom for the model are 4 and the objective function was 0.04
## 0.3
## The root mean square of the residuals (RMSR) is 0.03
## The df corrected root mean square of the residuals is 0.05
## 0.3
## The harmonic number of observations is 71 with the empirical chi square 1.54 with prob < 0.82
## 0.3The total number of observations was 71 with MLE Chi Square = 2.82 with prob < 0.59
## 0.3
## Tucker Lewis Index of factoring reliability = 1.026
## RMSEA index = 0 and the 90 % confidence intervals are NA 0.153 0.3
## BIC = -14.23
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy
## MR1 MR2
## Correlation of scores with factors 1.00 0.91
## Multiple R square of scores with factors 0.99 0.83
## Minimum correlation of possible factor scores 0.98 0.66
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate = rotate,
## : A Heywood case was detected. Examine the loadings carefully.
## Factor Analysis using method = minres
## Call: fa(r = dgi, nfactors = 2, n.obs = 71)
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## Warning: A Heywood case was detected.
## Standardized loadings (pattern matrix) based upon correlation matrix
## item MR1 MR2 h2 u2 com
## group.in3 3 1.05 -0.11 1.00 0.005 1.0
## group.in5 5 0.77 0.25 0.86 0.141 1.2
## group.in2 2 0.53 0.24 0.47 0.533 1.4
## group.in4 4 -0.06 0.99 0.93 0.073 1.0
## group.in1 1 0.39 0.64 0.82 0.183 1.6
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## MR1 MR2
## SS loadings 2.33 1.73
## Proportion Var 0.47 0.35
## Cumulative Var 0.47 0.81
## Proportion Explained 0.57 0.43
## Cumulative Proportion 0.57 1.00
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## With factor correlations of
## MR1 MR2
## MR1 1.0 0.5
## MR2 0.5 1.0
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## Mean item complexity = 1.3
## Test of the hypothesis that 2 factors are sufficient.
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## The degrees of freedom for the null model are 10 and the objective function was 5.17 0.3 with Chi Square of 43.93
## The degrees of freedom for the model are 1 and the objective function was 0.92
## 0.3
## The root mean square of the residuals (RMSR) is 0.06
## The df corrected root mean square of the residuals is 0.18
## 0.3
## The harmonic number of observations is 12 with the empirical chi square 0.77 with prob < 0.38
## 0.3The total number of observations was 12 with MLE Chi Square = 6.59 with prob < 0.01
## 0.3
## Tucker Lewis Index of factoring reliability = -1.067
## RMSEA index = 0.91 and the 90 % confidence intervals are 0.265 1.216 0.3
## BIC = 4.1
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy
## MR1 MR2
## Correlation of scores with factors 1.00 0.97
## Multiple R square of scores with factors 1.00 0.94
## Minimum correlation of possible factor scores 0.99 0.88
## Factor Analysis using method = minres
## Call: fa(r = benefit, nfactors = 2, n.obs = 71)
## Standardized loadings (pattern matrix) based upon correlation matrix
## item MR1 MR2 h2 u2 com
## rel2 8 0.97 -0.10 0.83 0.17 1.0
## rel3 9 0.94 -0.07 0.82 0.18 1.0
## rel4 10 0.86 0.03 0.78 0.22 1.0
## learn1 11 0.74 0.18 0.75 0.25 1.1
## rep3 6 0.63 0.20 0.60 0.40 1.2
## rep2 5 0.56 0.20 0.50 0.50 1.3
## rel1 7 0.48 0.40 0.63 0.37 1.9
## learn2 12 -0.04 0.85 0.69 0.31 1.0
## altru2 2 -0.11 0.85 0.61 0.39 1.0
## altru3 3 0.01 0.74 0.55 0.45 1.0
## altru1 1 0.15 0.71 0.66 0.34 1.1
## learn4 14 0.21 0.59 0.55 0.45 1.2
## learn3 13 0.14 0.53 0.39 0.61 1.1
## rep1 4 0.31 0.43 0.46 0.54 1.8
##
## MR1 MR2
## SS loadings 4.75 4.07
## Proportion Var 0.34 0.29
## Cumulative Var 0.34 0.63
## Proportion Explained 0.54 0.46
## Cumulative Proportion 0.54 1.00
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## With factor correlations of
## MR1 MR2
## MR1 1.00 0.63
## MR2 0.63 1.00
##
## Mean item complexity = 1.2
## Test of the hypothesis that 2 factors are sufficient.
##
## The degrees of freedom for the null model are 91 and the objective function was 12.84 0.3 with Chi Square of 828.43
## The degrees of freedom for the model are 64 and the objective function was 2.89
## 0.3
## The root mean square of the residuals (RMSR) is 0.07
## The df corrected root mean square of the residuals is 0.08
## 0.3
## The harmonic number of observations is 71 with the empirical chi square 62.14 with prob < 0.54
## 0.3The total number of observations was 71 with MLE Chi Square = 182.53 with prob < 2.5e-13
## 0.3
## Tucker Lewis Index of factoring reliability = 0.766
## RMSEA index = 0.176 and the 90 % confidence intervals are 0.134 0.189 0.3
## BIC = -90.28
## Fit based upon off diagonal values = 0.98
## Measures of factor score adequacy
## MR1 MR2
## Correlation of scores with factors 0.98 0.95
## Multiple R square of scores with factors 0.95 0.91
## Minimum correlation of possible factor scores 0.90 0.82
## Warning in fac(r = r, nfactors = nfactors, n.obs = n.obs, rotate = rotate,
## : A Heywood case was detected. Examine the loadings carefully.
## Factor Analysis using method = minres
## Call: fa(r = risk, nfactors = 2, n.obs = 71)
##
## Warning: A Heywood case was detected.
## Standardized loadings (pattern matrix) based upon correlation matrix
## item MR1 MR2 h2 u2 com
## lossIP1 1 1.00 -0.08 0.88 0.12 1.0
## lossIP2 2 0.93 0.00 0.87 0.13 1.0
## fear3 6 0.61 0.29 0.73 0.27 1.4
## fear1 4 0.56 0.31 0.69 0.31 1.6
## fear2 5 0.50 0.41 0.73 0.27 1.9
## lossIP3 3 0.40 0.32 0.47 0.53 1.9
## recipr1 7 -0.04 0.95 0.84 0.16 1.0
## recipr2 8 0.17 0.75 0.80 0.20 1.1
##
## MR1 MR2
## SS loadings 3.54 2.47
## Proportion Var 0.44 0.31
## Cumulative Var 0.44 0.75
## Proportion Explained 0.59 0.41
## Cumulative Proportion 0.59 1.00
##
## With factor correlations of
## MR1 MR2
## MR1 1.00 0.78
## MR2 0.78 1.00
##
## Mean item complexity = 1.4
## Test of the hypothesis that 2 factors are sufficient.
##
## The degrees of freedom for the null model are 28 and the objective function was 7.98 0.3 with Chi Square of 530.86
## The degrees of freedom for the model are 13 and the objective function was 0.59
## 0.3
## The root mean square of the residuals (RMSR) is 0.04
## The df corrected root mean square of the residuals is 0.06
## 0.3
## The harmonic number of observations is 71 with the empirical chi square 6.6 with prob < 0.92
## 0.3The total number of observations was 71 with MLE Chi Square = 38.37 with prob < 0.00025
## 0.3
## Tucker Lewis Index of factoring reliability = 0.889
## RMSEA index = 0.176 and the 90 % confidence intervals are 0.107 0.228 0.3
## BIC = -17.05
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy
## MR1 MR2
## Correlation of scores with factors 0.98 0.96
## Multiple R square of scores with factors 0.95 0.92
## Minimum correlation of possible factor scores 0.91 0.84
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